Risk Management -Wholesale Credit Risk Associate
On-site · Jersey City, New Jersey, United States
Job Summary
Design and implement modern risk modeling platforms for wholesale credit; develop statistical and quantitative risk models; implement numerical algorithms in Python and C++; build object-oriented software for risk analytics; support model backtesting and validation; collaborate with model developers and business partners to implement, test, and operationalize forecasting capabilities; analyze and debug forecast behaviors to improve accuracy; conduct peer code reviews; present progress and roadmap updates to senior leaders and modeling teams; manage project deliverables, defect remediation, and new feature releases across model development cycles; review, implement, and test technical documentation to ensure clarity and compliance.
Required Qualifications
- Master’s degree or equivalent education in computer science, data science, mathematics, statistics, financial engineering, or related fields
- Proficiency in object-oriented programming using C++ and Python
- Strong knowledge of tools and methods for exploratory data analysis, such as Pandas and NumPy
- Experience with statistical modeling and Monte Carlo simulation
- Ability to work with large datasets
- Experience designing and consuming RESTful APIs for quantitative workflows (credit data, risk calculators, model executions)
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